Ticket Panic — Find the support questions your product keeps causing

A tool for people who run paid communities, courses, or small B2B products and receive repetitive support questions. They paste in exported support tickets, Discord/Slack threads, or a help-center URL; the app clusters recurring questions, identifies articles that are missing or confusing, and produces a ranked weekly “support debt” list. For every cluster it drafts: a help-center article outline, the shortest recommended product/UI fix, and a reusable reply macro. The unusual angle is that it does not pretend to be another chatbot—it tells the owner what to fix so fewer tickets exist. Day 1 MVP: CSV upload of tickets with a text column, embedding-based clustering, and an HTML/Markdown report. Use local sentence-transformer embeddings and scikit-learn to avoid per-request AI costs; host a simple Streamlit app on a free tier. Paid users can connect an inbox, schedule reports, and track whether a documentation fix reduced ticket volume. This can sell at $15–49/month because it saves founders time every week and requires little ongoing operator involvement.

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